Abstract: This paper addresses the data-locality-aware task assignment and scheduling problem for distributed job executions. Our goal is to minimize job completion times without prior knowledge of ...
Abstract: Previous multi-agent deep reinforcement learning (MADRL) algorithms have shown strong performance in symmetric scenarios. However, research on numerically disadvantaged scenarios is limited ...
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